A region-based multiple testing method for hypotheses ordered in space or time.

Research paper by Rosa J RJ Meijer, Thijmen J P TJ Krebs, Jelle J JJ Goeman

Indexed on: 20 Dec '14Published on: 20 Dec '14Published in: Statistical applications in genetics and molecular biology


We present a multiple testing method for hypotheses that are ordered in space or time. Given such hypotheses, the elementary hypotheses as well as regions of consecutive hypotheses are of interest. These region hypotheses not only have intrinsic meaning but testing them also has the advantage that (potentially small) signals across a region are combined in one test. Because the expected number and length of potentially interesting regions are usually not available beforehand, we propose a method that tests all possible region hypotheses as well as all individual hypotheses in a single multiple testing procedure that controls the familywise error rate. We start at testing the global null-hypothesis and when this hypothesis can be rejected we continue with further specifying the exact location/locations of the effect present. The method is implemented in the R package cherry and is illustrated on a DNA copy number data set.